Systems and methods for tax collection, analysis and compliance

Abstract

A tax matching and identification system are disclosed. The system may receive tax information from one or more sources, combine all or some of the information into a single form, and apply various software processes to calculate a weighted average. The average is then compared to a threshold to determine whether a person or entity is in tax compliance.

What is claimed: 
     
         1 . A method comprising:
 receiving electronically first tax information including at least one tax identification number (TIN) and first address information associated with the TIN;   applying automatically a first address standardization process to the first tax information, including applying automatically one or more parsing algorithms to determine if the first address information is valid and in a first format;   receiving electronically business registration information and second tax information including second address information and automatically applying a set-based algorithm to combine the second tax information into a single form;   applying automatically a name and a second address standardization process to the combined second tax information, including automatically applying one or more parsing algorithms to determine if second address information is valid and in a second format;   applying automatically a matching process, including:   applying automatically a fixed length matching algorithm to determine a TIN match;   determining automatically an exact match between the first and second addresses; and   applying automatically a bigram algorithm to determine a business name match;   calculating automatically a weighted average of the TIN match, the exact match, and the business name match; and   determining automatically if the weighted average is above a threshold.   
     
     
         2 . The method of  claim 1 , wherein the first address standardization processes decomposes the first address into one or more component parts. 
     
     
         3 . The method of  claim 1 , wherein the second address standardization processes decomposes the second address into one or more component parts. 
     
     
         4 . The method of  claim 1 , wherein fixed length matching algorithm is a hamming algorithm. 
     
     
         5 . The method of  claim 1 , wherein the name process includes a business dictionary. 
     
     
         6 . The method of  claim 1 , wherein second address standardization processes includes a USPS certified database. 
     
     
         7 . The method of  claim 1 , wherein first address standardization processes includes a USPS certified database. 
     
     
         8 . The method of  claim 1 , wherein the threshold varies. 
     
     
         9 . The method of  claim 1 , wherein weighted match is calculated as “(FEIN/TIN match score×FEIN/TIN weight)+(Name match score×Name weight)+(Address match score×Address weight). 
     
     
         10 . The method of  claim 1 , wherein a ranking algorithm is applied to form one or more lists. 
     
     
         11 . A system including a processor and a memory, wherein the memory stores executable code accessible by the processor to execute operations comprising:
 receiving electronically first tax information including at least one tax identification number (TIN) and first address information associated with the TIN;   applying automatically a first address standardization process to the first tax information, including applying automatically one or more parsing algorithms to determine if the first address information is valid and in a first format;   receiving electronically business registration information and second tax information including second address information and automatically applying a set-based algorithm to combine the second tax information into a single form;   applying automatically a name and a second address standardization process to the combined second tax information, including automatically applying one or more parsing algorithms to determine if second address information is valid and in a second format;   applying automatically a matching process, including:   applying automatically a fixed length matching algorithm to determine a TIN match;   determining automatically an exact match between the first and second addresses; and   applying automatically a bigram algorithm to determine a business name match;   calculating automatically a weighted average of the TIN match, the exact match, and the business name match; and   determining automatically if the weighted average is above a threshold.   
     
     
         12 . The system of  claim 11 , wherein the first address standardization processes decomposes the first address into one or more component parts. 
     
     
         13 . The system of  claim 11 , wherein the second address standardization processes decomposes the second address into one or more component parts. 
     
     
         14 . The system of  claim 11 , wherein fixed length matching algorithm is a hamming algorithm. 
     
     
         15 . The system of  claim 11 , wherein the name process includes a business dictionary. 
     
     
         16 . The system of  claim 11 , wherein second address standardization processes includes a USPS certified database. 
     
     
         17 . The system of  claim 11 , wherein first address standardization processes includes a USPS certified database. 
     
     
         18 . The system of  claim 11 , wherein the threshold varies. 
     
     
         19 . The system of  claim 11 , wherein weighted match is calculated as “(FEIN/TIN match score×FEIN/TIN weight)+(Name match score×Name weight)+(Address match score×Address weight). 
     
     
         20 . The system of  claim 11 , wherein a ranking algorithm is applied to form one or more lists.